Evidence map›Paper›PMID 29557831›Full record

ArticleJournal of glaucoma2018

Glaucoma Features in an East African Population: A 6-Year Cohort Study of Older Adults in Nakuru, Kenya.

Andrew Bastawrous, Wanjiku Mathenge, John Buchan, Fatima Kyari, Tunde Peto, Hillary Rono, Helen A Weiss, David Macleod, Allen Foster, Matthew J Burton and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of glaucoma, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Andrew BastawrousClinical Research Department, International Centre for Eye Health, London School of Hygiene & Tropical Medicine.
Wanjiku MathengeRwanda International Institute of Ophthalmology and Dr Agarwal's Eye Hospital, Kigali, Rwanda.
John BuchanClinical Research Department, International Centre for Eye Health, London School of Hygiene & Tropical Medicine.
Fatima KyariClinical Research Department, International Centre for Eye Health, London School of Hygiene & Tropical Medicine.
Tunde PetoDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine.
Hillary RonoClinical Research Department, International Centre for Eye Health, London School of Hygiene & Tropical Medicine.
Helen A WeissDepartment of Infectious Disease Epidemiology, MRC Tropical Epidemiology Group, London School of Hygiene & Tropical Medicine.
David MacleodDepartment of Infectious Disease Epidemiology, MRC Tropical Epidemiology Group, London School of Hygiene & Tropical Medicine.
Allen FosterClinical Research Department, International Centre for Eye Health, London School of Hygiene & Tropical Medicine.
Matthew J BurtonClinical Research Department, International Centre for Eye Health, London School of Hygiene & Tropical Medicine.
Hannah KuperClinical Research Department, International Centre for Eye Health, London School of Hygiene & Tropical Medicine.
London School of Hygiene & Tropical Medicine · GBMoorfields Eye Hospital NHS Foundation Trust · GB

Funding

Medical Research Council G0700837Medical Research Council G1001934Medical Research Council MR/K012126/1Wellcome TrustWellcome Trust 098481/Z/12/Z
6 · The paper itself

Abstract

purposeGlaucoma is a leading cause of blindness in people of African descent. Minimal data is available from African population-based cohort studies. The primary aims of this study were to describe the normative distribution of glaucoma features to enable glaucoma classification and to assess risk factors for those with glaucoma at follow-up among people aged 50 years and above in Kenya. MATERIALS AND

methodsRandom cluster sampling with probability proportionate to size was used to select a representative cross-sectional sample of adults aged 50 years and above in 2007 to 2008 in Nakuru District, Kenya. A 6-year follow-up was undertaken in 2013 to 2014. Comprehensive ophthalmic examination included visual acuity, digital retinal photography, visual fields, intraocular pressure, optical coherence tomography, and independent grading of optic nerve images. We report glaucoma features, prevalence and predictors for glaucoma based on the International Society for Geographical & Epidemiological Ophthalmology (ISGEO) criteria. Measures were estimated using a Poisson regression model and including inverse-probability weighting for loss to follow-up.

resultsAt baseline, 4414 participants aged 50 years and above underwent examination. Anterior chamber optical coherence tomography findings: mean anterior chamber angle of 36.6 degrees, mean central corneal thickness of 508.1 μm and a mean anterior chamber depth of 2.67 mm. A total of 2171 participants were examined at follow-up. The vertical cup to disc ratio distribution was 0.7 and 0.8 at the 97.5th and 99.5th percentiles, respectively. A total of 88 (4.3%, 95% confidence interval, 3.5%-5.9%) of participants at follow-up had glaucoma consistent with ISGEO criteria. A relative afferent pupillary defect and raised intraocular pressure were associated with the diagnosis.

conclusionsGlaucoma is a public health challenge in low-resource settings. Research into testing and treatment modalities in Africa is needed.

Indexed as

Africa, EasternAgedAged, 80 and overAge DistributionBlindnessCohort StudiesCross-Sectional StudiesFemaleGlaucomaHumansIntraocular PressureKenyaMaleMiddle AgedPrevalenceRisk Factors

Identifiers

PMID29557831
PMCPMC5933523
OpenAlexW2790049096

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.